BackHow often users come back in a month.

DAU/MAU Stickiness

Share of monthly users active daily.

Overview

Stickiness, computed as DAU/MAU, indicates how habit‑forming your product is. It complements retention by showing frequency of engagement.

Stickiness is DAU divided by MAU, a proxy for habitual usage.

Definition

Segment by feature and audience. Improving daily value loops and reducing friction are typical levers to lift stickiness.

Stickiness, computed as DAU divided by MAU, indicates how habit‑forming your product is. Track by feature and segment to understand what drives frequent engagement. Improving stickiness usually requires better daily value loops and reduced friction.

Formula

Use period active counts.

Compute DAU divided by MAU × 100% for the period and track by feature usage.

Stickiness = DAU / MAU × 100%

Example

5k DAU, 20k MAU → 25%.

Provide a DAU and MAU example to show how stickiness percentage is derived.

Common pitfalls

Bots, seasonality, and uneven feature adoption across segments can distort stickiness.

  • Bots or non‑human activity
  • Seasonality effects
  • Different feature adoption across segments

Benchmarks

Consumer social 40–60%+; productivity tools 20–40% typical.

Consumer social often 40–60%+; productivity tools 20–40% typical.

Notes

Track weekly stickiness (WAU/MAU) and pair with retention analysis for depth.

  • Track weekly stickiness (WAU/MAU) too
  • Pair stickiness with retention analysis

Related terms

Stickiness relates to activation and retention and highlights engagement loops.

FAQs

FAQs ask what good stickiness looks like and how to segment it.

Good value?

Depends on product category.